Nguyen, T., Ahmad, Z., & Kim, J. (2022). A Deep-Learning-Based Health Indicator Constructor Using Kullback–Leibler Divergence for Predicting the Remaining Useful Life of Concrete Structures. Sensors (Basel, Switzerland), 22(10), 3687. https://doi.org/10.3390/s22103687
Citace podle Chicago (17th ed.)Nguyen, Tuan-Khai, Zahoor Ahmad, a Jong-Myon Kim. "A Deep-Learning-Based Health Indicator Constructor Using Kullback–Leibler Divergence for Predicting the Remaining Useful Life of Concrete Structures." Sensors (Basel, Switzerland) 22, no. 10 (2022): 3687. https://doi.org/10.3390/s22103687.
Citace podle MLA (9th ed.)Nguyen, Tuan-Khai, et al. "A Deep-Learning-Based Health Indicator Constructor Using Kullback–Leibler Divergence for Predicting the Remaining Useful Life of Concrete Structures." Sensors (Basel, Switzerland), vol. 22, no. 10, 2022, p. 3687, https://doi.org/10.3390/s22103687.